A simple conditional adverserial neural network module.
Project description
cGAN Project
This is a Conditional Generative Adversarial Network (cGAN) project that allows you to train on your own dataset. The project generates images based on the specified data and saves a trained generator model along with a dictionary of classes to indices.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
iobm-0.4.28.tar.gz
(8.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
iobm-0.4.28-py3-none-any.whl
(11.1 kB
view details)
File details
Details for the file iobm-0.4.28.tar.gz.
File metadata
- Download URL: iobm-0.4.28.tar.gz
- Upload date:
- Size: 8.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
34b1b0423601215e2dce6d30acbe8080de3adf20bd249cdce059b375d297cea1
|
|
| MD5 |
4919939569fcf949a4f1305b8c1cec4a
|
|
| BLAKE2b-256 |
11a98465c03eddaf4bec9ab4f5c501d33cfb7e2fcf6ea483d42a625c73d6804f
|
File details
Details for the file iobm-0.4.28-py3-none-any.whl.
File metadata
- Download URL: iobm-0.4.28-py3-none-any.whl
- Upload date:
- Size: 11.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b6c2845f68df5e2edd6db52bbe419ee004589d27cca07aa7ec1cf38c5fa6fdf4
|
|
| MD5 |
e205f891c8e3bc9e981b756b9f93a762
|
|
| BLAKE2b-256 |
d811d738a2b9a6251c38131989e44afb431a039eb61123ef3fd4cd427e4f2a64
|
